configuration_baseline.py

from transformers import PretrainedConfig

class BaselineConfig(PretrainedConfig):
    model_type = "baseline-xtransformers"
    def __init__(
        self,
        vocab_size=32768,
        d_model=512,
        seq_len=4096,
        depth=5,
        heads=8,
        dropout=0.0,
        **kwargs
    ):
        super().__init__(**kwargs)
        self.vocab_size = vocab_size
        self.d_model = d_model
        self.seq_len = seq_len
        self.depth = depth
        self.heads = heads
        self.dropout = dropout